CFTC to Host Cryptocurrency CEO Forum to Discuss Digital Asset Market Pilot Program

According to analyst AliCharts, Bitcoin’s current price trajectory mirrors its bottom-forming phase in 2022–2023, having broken through a descending resistance trendline and approaching the ~$83,000 high from May 2026. This could spark a pullback that creates a buying opportunity, with a target of $100,000. Additionally, Bitcoin’s UTXO Realized Price Distribution (URPD) data indicates a major resistance zone between $83,307 and $84,569, where nearly 975,000 BTC was purchased. Coupled with traders holding a 25% profit margin, this zone is likely to trigger profit-taking and short-term corrections. Should a pullback occur, Bitcoin’s potential support levels stand at $76,996–$78,258 (with 843,000 BTC in trading volume) and $63,111 (with 925,000 BTC). A dip to these areas could offer another significant buying opportunity.

According to an official announcement, crypto exchange Huobi HTX will launch TAO/USDT spot and grid trading at 21:00 (UTC+8) on August 27. TAO deposit services are now open, while withdrawal services will be available at 21:00 on August 28. Bittensor is an open-source protocol that powers a decentralized, blockchain-based machine learning network. The platform leverages a unique "Proof of Intelligence" mechanism and dedicated subnet system to enable collaborative training and sharing of AI models, creating a globally distributed machine learning market where contributors are rewarded with its native token TAO.

Renowned investment research firm Citrini predicted that NVIDIA’s stock price is set to hit a new high. “Short sellers who have shorted NVIDIA via margin will cover their positions rapidly, while underweight long-position managers benchmarked to the SPX will adjust their positions more slowly,” the firm stated. Separately, market data from BIT (bit.com) shows NVIDIA is currently trading at $224.6 in pre-market hours, up 7.17%.

Beating AI Express: Anthropic researchers are attempting to train an agent dedicated to auditing other AI models. They first secretly implant hidden problematic behaviors—including bias, deception, and fake citations—into target models, then let Haiku 4.5 conduct investigations independently. Haiku has no prior knowledge of the correct answers, so it must adjust its questions, modify scenarios, and run repeated tests within a maximum of 15 rounds. During training, researchers do not directly tell Haiku whether it correctly detected anomalies. After each investigation, the system compares Haiku’s results against an investigation record from an older Haiku version, then has Sonnet 4—who already knows the correct answers—evaluate which investigation is more accurate. The old record is updated every 50 training steps, effectively letting Haiku continuously challenge its own past performance. However, if all training tasks involve problematic models, Haiku will quickly develop flawed patterns. To secure rewards, it starts assuming all models are problematic; in some setups, its false positive rate against normal models reaches nearly 97%. Later, researchers swapped half the training tasks to use completely normal models, requiring Haiku to correctly identify a target model as normal after investigation to earn high rewards. The trained Haiku indeed changed its approach: it proactively adjusts scenarios, controls variables, and compares responses across iterations, rather than immediately pushing models to admit faults. Its final comprehensive audit score rose from 44.2 to 48.7, nearly matching Opus 4.6’s 48.4. When tested on the more challenging AuditBench—where models actively hide anomalies—its detection rate improved from 11.5% to a maximum of 28.1%.

According to crypto analyst joaowedson, Binance’s spot trading volume currently accounts for just around 10% of its perpetual futures trading volume. This market structure consistently reflects investors’ strong preference for derivatives over spot trading. The analyst notes this does not necessarily signal a bearish market; instead, it highlights a shift in participation: traders are increasingly turning to derivatives for hedging, leverage, and short-term positions. Notably, this ratio has remained relatively low for most of 2026. Even during periods of strong Bitcoin price performance, spot activity has not expanded in tandem with perpetual futures activity. joaowedson points out that historically, higher spot participation has typically indicated stronger demand from actual asset purchases, while derivative-dominated market environments tend to reflect greater influence from positions and leverage factors.

Per GoPlus monitoring, Realio Network — a RWA tokenization issuance and management platform — was hacked on August 25. The attacker hijacked the platform’s signature stack and siphoned funds from treasury and custodian wallets across five blockchains: Ethereum, BNB Chain, Algorand, Stellar, and Realio’s native chain. A total of 127.9 million RIO tokens were stolen, worth roughly $6.2 million, with the attacker having cashed out around $317,000 to date. GoPlus Security’s analysis attributes the incident to the theft of the platform’s signing keys. Realio[.]fund previously used a single hot signer to uniformly manage the treasury, reserves, and user custodian sub-accounts. After gaining this access, the attacker could directly sign transfers across multiple chains without user approval, key reconfiguration, or any contract vulnerability being exploited. Realio’s official team stated the platform has suspended access, with all user wallet fund deposits and withdrawals fully halted. The team is developing a recovery plan, verifying incident details, and will cooperate with law enforcement to identify the attacker’s identity.